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, fitting to the project plan. Your profile The candidate should have a PhD degree in natural resource economics or a similar subject. Proven experience in data analysis of markets related to natural
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generation and attosecond physics Other skills, e.g. instrument programming, data analysis, vacuum technology, mechanical design Consideration will also be given to how the applicant’s experience and skills
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due to illness, parental leave, clinical service, appointments of trust in trade union organizations, or similar circumstances. Requirements A PhD (or equivalent foreign degree) in a relevant discipline
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or electrochemical characterization of materials or devices Experimental design and electrical characterization of device performance and associated data analysis Peer-reviewed publication as first or lead author
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PhD in computer science (or related) with applications to biology, or a PhD in Biology, with a solid component of computer science. Contact Information Project D Stéphane Verger, Department of Plant
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description The postdoctoral project is focused on development and the exploitation of machine learning tools to accelerate the analysis of microtomography data at the MAXIV synchrotron facility. MAXIV
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of publications and manuscripts. Copy of your PhD degree certificate if completed. Contact information for three referees should be included in your application. Further information: Informal enquiries can be
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. It may also include technique development work aimed at combining imaging techniques and data analysis to provide a more integrated picture of life processes in the context of health and disease. To be
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experiments Documented expertise in data analysis using scripting (ideally python-based) Experience carrying out SAXS/WAXS experiments at large scale facilities Working experience with soft matter and/or
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specialized knowledge in cardiovascular genetics and bioinformatics skills relevant to the analysis of microRNA and sequencing data. More information about the position The appointment is a full-time, fixed